n8n Workflow: Groq AI LinkedIn Posts + Telegram Alerts

Automate Groq-powered LinkedIn posts—with Telegram alerts on every failure

This n8n workflow creates an AI-written LinkedIn post about business automation and AI using Groq, audits and optimizes it through multiple review passes, validates the final output, then publishes to LinkedIn. If anything fails (validation or execution), it sends a detailed Telegram notification.

What this workflow does

• Runs on a schedule (or manually) to start the post creation process.
• Uses Groq via LangChain agents to generate a LinkedIn post following defined structure, length, emoji, and tone requirements.
• Audits the generated post with Groq, scores it against specific LinkedIn criteria, and parses the resulting audit JSON for downstream steps.
• Performs a marketing evaluation and then optimizes the content with Groq to produce a final JSON payload (including hook, CTA, and optimized post text).
• Validates the optimizer’s JSON, quality score, required formatting (including minimum length and a final question), and only then publishes to LinkedIn.
• If validation fails, it sends a Telegram message with the failure reason, waits 1 minute, then runs a second generation→audit→marketing→optimization→validation pass before retrying LinkedIn publishing.
• If the workflow hits an execution error at any point, it immediately notifies you in Telegram with the error details.

Use cases

• For SaaS operators who want consistent LinkedIn automation without manual writing.
• For automation engineers building AI content pipelines with Groq quality controls.
• For teams that need fallback attempts and real-time monitoring via Telegram.

Technical details

• Integrations/Nodes: Groq (via LangChain agents), LinkedIn, Telegram
• n8n nodes used: if, set, code, wait, linked in, telegram
• Setup: add a Groq credential and ensure each Groq Chat Model node targets an available Groq model; add LinkedIn credentials and confirm target LinkedIn permissions.